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@ShahidNShah
As co-founder and CTO of YC healthcare technology company Attunement, I have experienced firsthand the excitement and challenges of implementing AI within the healthcare system. While AI has already had a significant impact in the automation of tedious tasks, the less-explored but tremendous potential to perform reliable diagnosis and treatment will face significant challenges in adoption and model reliability. While the jury is also still out on to what extent providers will be assisted, or potentially even replaced by AI in the future, more affordable and higher quality care is likely on the horizon—slowly.Generative AI has emerged as a promising solution to the U.S.’s broken healthcare system.
Generative AI has emerged as a promising solution to the U.S.’s broken healthcare system. Its potential applications include everything from assisting clinicians with diagnosis to creating comprehensive treatment plans and even administering therapeutic interventions. Large language models (LLMs) have demonstrated capabilities that can oftentimes parallel human performance in these categories, providing accurate instructions and data.
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Artificial intelligence (AI) holds the potential to revolutionize public health by addressing critical challenges in accessibility, resource allocation, and workforce shortages. AI can optimize …
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